Impacts of different tillage practices on soil water infiltration for sustainable agriculture

R Amami, K Ibrahimi, F Sher, P Milham, H Ghazouani… - Sustainability, 2021 - mdpi.com
Over the years, cultivation using sustainable tillage practices has gained significant
importance, but the impact of tillage on soil water infiltration is still a concern for landowners …

[HTML][HTML] Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran

M Panahi, K Khosravi, S Ahmad, S Panahi… - Journal of Hydrology …, 2021 - Elsevier
Study region Sixteen different sites from two provinces (Lorestan and Illam) in the western
part of Iran were considered for the field data measurement of cumulative infiltration …

Random forest, M5P and regression analysis to estimate the field unsaturated hydraulic conductivity

P Sihag, S Mohsenzadeh Karimi, A Angelaki - Applied Water Science, 2019 - Springer
Hydraulic conductivity of soil reveals its influencing role in the studies related to
management of surface and subsurface flow, eg irrigation and drainage projects, and solute …

Modelling of infiltration using artificial intelligence techniques in semi-arid Iran

P Sihag, VP Singh, A Angelaki, V Kumar… - Hydrological …, 2019 - Taylor & Francis
Infiltration plays a fundamental role in streamflow, groundwater recharge, subsurface flow,
and surface and subsurface water quality and quantity. In this study, adaptive neuro-fuzzy …

Simple prediction of an ecosystem-specific water quality index and the water quality classification of a highly polluted river through supervised machine learning

A Fernández del Castillo, C Yebra-Montes… - Water, 2022 - mdpi.com
Water quality indices (WQIs) are used for the simple assessment and classification of the
water quality of surface water sources. However, considerable time, financial resources, and …

A deep learning model with spatio-temporal graph convolutional networks for river water quality prediction

J Huan, W Liao, Y Zheng, X Xu, H Zhang, B Shi - Water Supply, 2023 - iwaponline.com
High-precision water quality prediction plays a vital role in preventing and controlling river
pollution. However, river water's highly nonlinear and complex spatio-temporal …

Introducing affordable and accessible physical covers to reduce evaporation from agricultural water reservoirs and pools (field study, statistics, and intelligent methods …

H Ghazvinian, H Karami, S Farzin… - Arabian Journal of …, 2021 - Springer
Nowadays, a major part of the stored surface water resources is wasted by evaporation. By
implementing low-cost methods to prevent water evaporation, it is possible to return this part …

Rain garden infiltration rate modeling using gradient boosting machine and deep learning techniques

S Kumar, KK Singh - Water Science and Technology, 2021 - iwaponline.com
Rain garden is effective in reducing storm water runoff, whose efficiency depends upon
several parameters such as soil type, vegetation and meteorological factors. Evaluation of …

Assessment of infiltration models developed using soft computing techniques

P Sihag, M Kumar, B Singh - Geology, Ecology, and Landscapes, 2021 - Taylor & Francis
In this study, predicting ability of support vector machines (SVM), Gaussian process (GP),
artificial neural network (ANN), and Random forests (RF) based regression approaches was …

Estimation of infiltration rate using data-driven models

A Sepahvand, B Singh, M Ghobadi, P Sihag - Arabian Journal of …, 2021 - Springer
The infiltration rate is one of the primary processes of the hydrological cycle. It is the property
of water by which it moves through the soil particles. Good knowledge of the infiltration rate …